README.md

---
license: mit
tags:
  - ultralyticsplus
  - yolov8
  - ultralytics
  - yolo
  - vision
  - instance-segmentation
  - pytorch
  - awesome-yolov8-models
  - solar-panels
  - pv-panels
library_name: ultralytics
library_version: 8.0.57
inference: false
pipeline_tag: image-segmentation
---

YOLOv8s trained on solar panels dataset https://app.roboflow.com/rzeszow-university-of-technology/solar-panels-seg/2

**Inference API:** [On Roboflow](https://app.roboflow.com/rzeszow-university-of-technology/solar-panels-seg/deploy/2)

## Training results

![Results](train/results.png)

*Labels:*
![Labels](train/val_batch0_labels.jpg)

*Predictions:*
![Preds](train/val_batch0_pred.jpg)

## How to use

1. Instal ultralytics package. Follow their guide here: [Quickstart](https://docs.ultralytics.com/quickstart/)
2. Clone this repository.
3. Run inference
```sh
yolo segment predict model=best.pt imgsz=640 save=True source=image.png
```